258 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Australia
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What you'll receive The CSIRO Industry PhD Program (iPhD) aims to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering For further information, please follow the link for each Graduate Research Degree ● 3291 - Doctor
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and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering To be eligible to apply for domestic postgraduate research scholarships an applicant must be
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Full-time enrolment in a PhD program at Curtin University Background in artificial intelligence, computer vision, or structural/civil engineering Demonstrated research experience, with evidence of
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the world. Ideal applicants will have a solid background in AI, machine learning, control theory or quantitative finance. Applicants with advanced programming skills (Python/C++); and a desire to publish in
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citizenship (citizenship certificate, birth certificate, and passport) or residential status must accompany this application. Overseas PhD students can apply for scholarships on confirmation of the following
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for this scholarship you must: be an Australian or New Zealand student studying or applying for a PhD or Master of Philosophy and meet QUT’s admission requirements maintain full-time enrolment apply and be successful in
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supports high-achieving Vietnamese candidates to undertake a Doctor of Philosophy (PhD) at Curtin University, Perth Western Australia. Project 89 is a Vietnam Government training scheme under Ministry of
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. This PhD project, partnering with the Inclusive Design Collective on the ARC funded mid-career industry fellowship (IM240100147), investigates how people with disability navigated digital platforms during